The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
Sequential Optimality and Coordination in Multiagent Systems
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Decentralized Language Learning through Acting
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Decentralized control of cooperative systems: categorization and complexity analysis
Journal of Artificial Intelligence Research
Coordination through Inductive Meaning Negotiation
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
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We present the problem of learning to communicate in decentralized and stochastic environments, analyzing it formally in a decision-theoretic context and illustrating the concept experimentally. Our approach allows agents to converge upon coordinated communication and action over time.